Zeynep Akata is a professor of Computer Science (W3) within the Cluster of Excellence Machine Learning at the University of Tübingen. After completing her PhD at the INRIA Rhone Alpes with Prof Cordelia Schmid (2014), she worked as a post-doctoral researcher at the Max Planck Institute for Informatics with Prof Bernt Schiele (2014-17) and at University of California Berkeley with Prof Trevor Darrell (2016-17). Before moving to Tübingen in October 2019, she was an assistant professor at the University of Amsterdam with Prof Max Welling (2017-19). She received a Lise-Meitner Award for Excellent Women in Computer Science from Max Planck Society in 2014, a young scientist honour from the Werner-von-Siemens-Ring foundation in 2019 and an ERC-2019 Starting Grant from the European Commission. Her research interests include multimodal learning and explainable AI.
Sophia Ananiadou is Professor in Computer Science at the University of Manchester. She gained her PhD from UMIST in the area of natural language processing. Her research is interdisciplinary and her main contributions are in biomedical text mining and NLP. She is also the Director of the National Centre for Text Mining (since 2005), providing tools, resources, systems and infrastructure for biomedicine. She has had several projects in areas such as reconstruction of biological pathways using text mining, information extraction from the literature, the development of methods for the automation of systematic reviews and semantic search systems. She has applied her research mostly in systems biology, medicine, public health, biodiversity and chemistry.